• Architecture
  • Space Architecture
  • Data Science
The Beginning

Gökhan Dede is a passionate individual who enjoys acquiring new skills to further his professional capability and knowledge.He acquired a bachelor's degree in architecture from the Izmir Institute of Technology in 2014 and a master's degree in construction and project management from Mimar Sinan Fine Arts University in Istanbul in 2018. He participated design competitions and worked as an architect for three years for different design and construction companies on a wide range of assignments of different scales and scopes.

Gökhan managed to get a scholarship from the Turkish National Ministry of Education at the end of 2017 after a significant amount of effort and study. The scholarship enabled him to study a foreign language and pursue a doctorate in a country other than Turkey. Prior to beginning his doctoral studies at Politecnico di Milano in 2019, he spent six months at Rice University in Houston, United States, enhancing his English proficiency through advanced language courses.

Research to Design a Mars Habitation

From October 2019 to July 2023, Gökhan was a Ph.D. student in the Department of Architecture, Built Environment, and Construction Engineering at Politecnico di Milano, where he aimed to develop a novel design methodology for a Mars habitation. To reach his goal, he has learned how to use python scripting for modeling, put the principles of graph theory into practice using the NetworkX python library, and used different plug-ins in the grasshopper environment to simulate the environment and structures.

It is likely that future crewed missions to Mars may rely on the multidisciplinary research undertaken by Gokhan in partnership with mathematicians, structural engineers, and space architects in order to design a crew habitat that is both straightforward and secure. On June 30, 2023, Gokhan successfully defended his doctoral dissertation, which was titled "Machine Learning-Aided Generative Design Methodology for a Mars Habitat."

The New Journey

Gökhan's professional skills were altered as a result of the research he did to establish a design methodology for the environment on Mars, and the Python coding he learned in order to undertake graph-data science implementations expanded his career outlook in order to keep up with the most recent advancements in technology. When he decided to get a professional qualification in data science, he was in the last year of his Ph.D. program. He wanted to make sure that his career stayed on the cutting edge of new ideas. In March of 2023, Gökhan successfully completed the IBM Data Science Professional Certificate program offered through the IBM Skills Network on Coursera.

His passion for innovative technological applications compels him to continuously acquire new knowledge and keep abreast of the newest technologies. He is an architect, designer, and data enthusiast.

Professional Background
  • Doctor of Philosophy
  • October 2019 - June 2023, Politecnico di Milano, Italy

    Dissertation: Machine Learning-Aided Generative Design Methodology for a Mars Habitation

    Supervisor: Prof. Massimiliano Nastri

    Co-Supervisor: Prof. Ingrid Maria Paoletti

  • English as a Second Language
  • September 2018 - February 2019, Rice University, U.S.A.

  • M.Sc. in Construction and Project Management
  • September 2016 - August 2018, Mimar Sinan Fine Arts University, Turkey

    Dissertation: Lean and BIM based Waste Management in Construction Industry

    Supervisor: Prof. Sema Ergönül

  • B.Sc.. in Architecture
  • September 2009 - August 2014, Izmir Institute of Technology

  • Researcher, Deep Space Initiative
  • August 2023 - January 2024, Munich

    “I am a member of a DSI-led research group focusing on "In-Space Manufacturing" for the Milkyway Research Program.”

  • Short-term Consultancy, MindEarth
  • April 2022 - July 2022, Italy

    “I worked as a mapper to do a "Street-view pilot survey" and "image labeling" for a fashion company's AI project.”

  • Architect, Istanbul Aydin University
  • December 2017 - May 2018, Turkey

    “I was responsible for managing the design and coordination levels of the new campus building of Istanbul Aydin University.”

  • Architect, Iki Design Group
  • February 2015 - December 2017, Turkey

    “I worked as a technical office architect in Emaar Square Project by controlling shop drawings and as-built projects to coordinate architectural projects and construction processes”

  • Site Architect, Maksem Construction
  • June 2014 - February 2015, Turkey

    “In Bulvar Istanbul Project - I worked as a site architect for construction works for six months.”

  • IBM Data Science Professional Certification
  • March 2023, IBM Skills Network »

  • Deep Learning Bootcamp
  • October 2022, Global AI Hub »

  • Python Bootcamp
  • September 2022, Global AI Hub »

  • Python for Machine Learning
  • July 2022, Global AI Hub »

  • Data Analysis with Python
  • February 2022, Global AI Hub »

  • Grasshopper and Rhino: Python Scripting
  • February 2022, LinkedIn Learning »

  • Space Architecture & Design
  • August 2021, School of Disruption »

  • Strolling Cities Project for Venice Biennale in 2021
  • May 22, 2021 - November 21, 2021, Italy

    Visual Poetry generated by Artificial Intelligence

    “Through millions of pictures captured in 9 Italian cities —Milan, Como, Bergamo, Venice, Genoa, Rome, Catania, Palermo— during the lockdowns ('20/'21), a generative A.I. model trained to create continually moving video paintings, whose undefined shapes imply a potential metamorphosis of urban locations, once assigned to certain societal purposes, into open spaces for countless (re)writings.” »

  • Imagining Futures, Norman Foster Foundation
  • February 17, 2020 - February 21, 2020, Madrid, Spain

    “Students conducted research and generated new ideas in relation to design projects at three different dimensions using three sets of drawings from the Norman Foster Foundation Archive: the Nomos Desking System, Hampstead House, and Stansted Airport.” »

Architectural Drawing and Modelling Skills


85% Complete (danger)


75% Complete (danger)


95% Complete (danger)

Rhinoceros & Grasshopper for 3D Simulations

90% Complete (danger)


95% Complete (danger)

Lumion3D for Rendering

85% Complete (danger)
Visualization and Design Skills


95% Complete (danger)


85% Complete (danger)


80% Complete (danger)

Tableau Public

70% Complete (danger)


60% Complete (danger)
Coding Skills

Python for ML

80% Complete (success)


85% Complete


55% Complete (warning)

Libraries for Python ML

Scikit-learn TensorFlow Keras Seaborn
Online Environments and Management Tools

IBM Watson Studio

85% Complete (danger)


80% Complete (danger)

Microsoft Excel

70% Complete (danger)

MS Project

60% Complete (danger)

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